LiverCAD

Source codes for detecting hepatic malignancy in multiphase CT scans. (ver.1)
Automatic detection of hepatic malignancy with trained weights in multiphase CT scan.

Environments

Ubuntu 18.04 LTS, Python 3.6.7, Keras 2.1.6, TensorFlow 1.9, CUDA 9.0, cuDNN 7.0

Trained weights

Mask-RCNN was used to detect hepatic malignancy. Pre-trained weights with MS COCO were fine-tuned using multiphase CT scans including malignancies.
weight/LiverCAD_weights.hdf5

Hepatic Malignancy Detection

Codes for detecting hepatic malignancy with the trained weights are implemented in Run_test.ipynb.

When the above multiphase CT scan (arterial-, portal venous-, delayed phase from left) is input,
malignancy is detected as shown below. White is ground-truth and Red is the predicted detection box.

We also prepared test dataset so that you can try the detection yourself. All of this data is unused for training and includes hepatic malignancies.
Just run after modifying the following two lines in Run_test.ipynb to suit your input path.

imgPath = "./data/img"
maskPath = "./data/label_gt"